docker-data-science VS external_documentation_redirect

Compare docker-data-science vs external_documentation_redirect and see what are their differences.

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docker-data-science external_documentation_redirect
1 1
0 3
- -
0.0 5.5
over 1 year ago 11 months ago
Dockerfile HTML
Do What The F*ck You Want To Public License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

docker-data-science

Posts with mentions or reviews of docker-data-science. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-17.
  • Jupyter Notebooks
    7 projects | /r/datascience | 17 Jan 2021
    Exactly. You can pre-configure yours for data science projects and publish it to Docker Hub for others to leverage. There’s one here: https://github.com/0xnu/docker-data-science

external_documentation_redirect

Posts with mentions or reviews of external_documentation_redirect. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing docker-data-science and external_documentation_redirect you can also consider the following projects:

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

data-analytics-project-template - A python project starter template for data-analytics and data-science.

jupyterlab-kite - Kite Autocomplete Extension for JupyterLab

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

neptune-client - 📘 The MLOps stack component for experiment tracking

lambda-packs - Precompiled packages for AWS Lambda

cmder - Lovely console emulator package for Windows

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

zeroc-ice-py-centos7 - Centos 7 ZeroC Ice Python Builder

mlcourse.ai - Open Machine Learning Course

RStudio Server - RStudio is an integrated development environment (IDE) for R

qubiter - Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”